Methodology for collecting, analyzing, and visualizing information on agricultural machinery and equipment

<jats:p>The article presents algorithms for collecting, analyzing, and visualizing data on agricultural machinery and equipment in order to create a unified information system that provides prompt access to up-to-date, structured, and comprehensive information necessary for effective management of technical equipment, procurement planning, repairs, and logistics in the agro-industrial complex. The article also discusses methods for content analysis and data classification based on OKPD-2 for building an ETL pipeline using Apache Airflow (DAG graphs), the use of the PostgreSQL relational data model with JSONB fields, and the application of the Yandex DataLens BI system.</jats:p>